Sound Event Detection

Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other. Recognizing such overlapping sound events is referred as polyphonic SED.

Source: A report on sound event detection with different binaural features

Papers

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Showing 121–130 of 194 papers

Title	Date	Tasks	Status	Hype
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers	Jul 28, 2021	Event DetectionKeyword Spotting	—Unverified	0
Crowdsourcing strong labels for sound event detection	Jul 26, 2021	Event DetectionSound Event Detection	—Unverified	0
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning	Jul 22, 2021	Data AugmentationEvent Detection	—Unverified	0
What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis	Jul 22, 2021	Direction of Arrival EstimationEvent Detection	CodeCode Available	1
Sound Event Detection: A Tutorial	Jul 12, 2021	BIG-bench Machine LearningEvent Detection	CodeCode Available	0
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild.	Jul 10, 2021	Audio ClassificationAudio Tagging	CodeCode Available	1
Heavily Augmented Sound Event Detection utilizing Weak Predictions	Jul 8, 2021	Data AugmentationEvent Detection	CodeCode Available	1
Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4	Jul 6, 2021	Event DetectionSound Event Detection	—Unverified	0
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings	Jun 30, 2021	Event DetectionSound Event Detection	—Unverified	0
DCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection	Jun 29, 2021	Audio ClassificationDirection of Arrival Estimation	CodeCode Available	1

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All datasets DESED L3DAS21 WildDESED Mivia Audio Events Mivia Road Events

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ATST-SED	event-based F1 score	63.4	—	Unverified
2	SE-CRNN-16 with DualKD	event-based F1 score	55.6	—	Unverified
3	FDY-CRNN	event-based F1 score	54	—	Unverified
4	HTS-AT	event-based F1 score	50.7	—	Unverified
5	RCT	event-based F1 score	49.62	—	Unverified
6	FiltAug SED	event-based F1 score	49.6	—	Unverified
7	SED-SSep baseline dcase task 4 2020 v2	event-based F1 score	40.7	—	Unverified
8	Baseline dcase task 4 2020 v2	event-based F1 score	39	—	Unverified
9	Baseline	event-based F1 score	25.8	—	Unverified
10	MAT-SED	PSDS1	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PHC SEDnet n=8	Error Rate	0.56	—	Unverified
2	Quaternion SEDnet	Error Rate	0.52	—	Unverified
3	PHC SEDnet n=16	Error Rate	0.51	—	Unverified
4	PHC SEDnet n=4	Error Rate	0.45	—	Unverified
5	PHC SEDnet n=2	Error Rate	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CRNN (with BEATs + Separation)	PSDS1 (-5dB)	0.13	—	Unverified
2	CRNN (with BEATs)	PSDS1 (-5dB)	0.07	—	Unverified
3	CRNN (WildDESED + Curriculrm learning)	PSDS1 (-5dB)	0.05	—	Unverified
4	CRNN (WildDESED)	PSDS1 (-5dB)	0.05	—	Unverified
5	CRNN	PSDS1 (-5dB)	0.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DENet	Rank-1 Recognition Rate	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DENet	Rank-1 Recognition Rate	1	—	Unverified